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index / DeepExa vs OBaI

>_ DeepExa vs OBaI

DeepExa and OBaI, side-by-side. Compare the facts below, then pick the one that fits your workflow.

DeepExa
OBaI
one-liner
Provides continuous agentic AI research that executes user-assigned research objectives autonomously over time.
Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents
best for
users who need ongoing autonomous research across domains such as investment, academic, ancestry, or lead generation
developers and quantitative researchers building custom financial analysis workflows who need programmatic access to fundamentals, market data, options, backtesting, and prediction market intelligence via mcp-connected agents.
key feature
autonomous continuous research execution on assigned objectives
autonomous strategy iteration agent that designs, backtests, and refines trading strategies
who uses it
—
Retail
asset class
Multi-asset
Multi-asset
function
AI Agents, Research
Research, AI Agents
strategies
—
Quant / Systematic, Technical Analysis, Fundamental Analysis
workflow
Research
Screening, Research, Valuation, Monitoring
instruments
Stocks
Stocks, ETFs, Options
regions
Global
North America
pricing
$?
FREE
plans
—
Open Source $0
free tier
no
yes
model
—
free
open source
—
yes
via
web
cli, web, desktop, mcp
audience
—
—
upvotes
0
0

DeepExa vs OBaI: key differences

  • OBaI has a free tier; DeepExa is $?.
  • OBaI is open source; DeepExa is not.
  • Only OBaI is available via cli, desktop, mcp.
  • OBaI also covers screening, valuation, monitoring in the workflow.
  • OBaI lists Retail users; DeepExa does not.
  • OBaI is tagged for quant / systematic, technical analysis, fundamental analysis.

about DeepExa

deepexa is an agentic ai that executes deep research objectives continuously and autonomously. it converts unstructured data into structured intelligence across use cases including ancestry, academic, investment, and lead research. users assign an objective and the agent works over time without further input.

about OBaI

open-source multi-agent platform for stock research, strategy backtesting, and prediction market intelligence. uses a central hub to dispatch user queries to specialized agents (fundamentals, market data, events/news, options, screening, portfolio, backtest, research, prediction markets) running on mcp servers. includes an autonomous strategy agent that designs, backtests, and iterates on trading strategies using polars + polars-talib engine with train/test split validation.

DeepExa
Provides continuous agentic AI research that executes user-assigned research objectives autonomously over time.
[↗] visit deepexa.tech
OBaI
Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents
[↗] visit github.com

See full data, pricing and alternatives on the DeepExa profile page, or the OBaI profile page.